Evidence map›Paper›PMID 41205688›Full record

ArticleAnnals of epidemiology2025

COMBINE EBIs: A novel COllaborative Method for Building INterventions from Existing Evidence-Based Interventions.

Justin Knox, Kara Portier, Christopher Magana, Maggie Denning, Christopher M Ferraris, Emily Dove-Medows, Cho-Hee Shrader, Ohemaa Poku, Phil Kreniske, Robert Remien and 20 more

Abstract read
In one paragraph

Article in Annals of epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

30 authors.

Justin KnoxNew York State Psychiatric Institute, New York, NY 10032, United States; Department of Psychiatry, Columbia University, New York, NY 10036, United States; Department of Sociomedical Sciences, Columbia University, New York, NY 10036, United States. Electronic address: justinryanknox@gmail.com.
Kara PortierDepartment of Sociomedical Sciences, Columbia University, New York, NY 10036, United States.
Christopher MaganaNew York State Psychiatric Institute, New York, NY 10032, United States; Department of Sociomedical Sciences, Columbia University, New York, NY 10036, United States.
Maggie DenningNew York State Psychiatric Institute, New York, NY 10032, United States.
Christopher M FerrarisNew York State Psychiatric Institute, New York, NY 10032, United States.
Emily Dove-MedowsDepartment of Systems, Populations and Leadership, University of Michigan, Ann Arbor, MI 48109, United States.
Cho-Hee ShraderSchool of Nursing, Rutgers University, Newark, NJ 07102, United States.
Ohemaa PokuDepartment of Psychiatry, Columbia University, New York, NY 10036, United States; Department of Sociomedical Sciences, Columbia University, New York, NY 10036, United States.
Phil KreniskeThe CUNY Institute for Implementation Science in Population Health and the Graduate School of Public Health, City University of New York, New York, NY 10027, United States.
Robert RemienNew York State Psychiatric Institute, New York, NY 10032, United States; Department of Psychiatry, Columbia University, New York, NY 10036, United States.
Efrat AharonovichNew York State Psychiatric Institute, New York, NY 10032, United States; Department of Psychiatry, Columbia University, New York, NY 10036, United States.
Jennifer C ElliottDepartment of Psychology, Molloy University, Rockville Center, NY 11570, United States.
Denis NashThe CUNY Institute for Implementation Science in Population Health and the Graduate School of Public Health, City University of New York, New York, NY 10027, United States.
Kathryn LancasterDepartment of Implementation Science, Wake Forest University School of Medicine, Winston-Salem, NC 27101, United States.
Till BaernighausenHeidelberg Institute of Global Health, Heidelberg University Hospital, Heidelberg, Germany; Africa Health Research Institute, Durban, South Africa.
Kayo FujimotoSchool of Public Health, University of Texas Health Houston, Houston, TX 77030, United States.
Adam CarricoDepartment of Health Promotion and Disease Prevention, Florida International University, Miami, FL 33199, United States.
John A SchneiderDepartment of Public Health Sciences, University of Chicago, Chicago, IL 60637, United States; Crown Family School of Social Work, Policy, and Practice, University of Chicago, Chicago, IL 60637, United States; Department of Medicine, University of Chicago, Chicago, IL 60637, United States.
Alida BourisCrown Family School of Social Work, Policy, and Practice, University of Chicago, Chicago, IL 60637, United States.
D Scott BateySchool of Social Work, Tulane University, New Orleans, LA 70112, United States.
Sheree R SchwartzDepartment of Epidemiology, Johns Hopkins University, Baltimore, MD 21205, United States.
Jose BauermeisterSchool of Nursing, University of Pennsylvania, Philadelphia, PA 19104, United States.
Patrick S SullivanDepartment of Epidemiology, Emory University, Atlanta, GA 30322, United States.
Joseph G RosenDepartment of Epidemiology, Emory University, Atlanta, GA 30322, United States; Division of General Internal Medicine, Rhode Island Hospital, Providence, RI 02903, United States; Department of Medicine, Warren Alpert Medical School, Brown University, Providence, RI 02903, United States; Department of Epidemiology, School of Public Health, Brown University, Providence, RI 02903, United States.
Gina WingoodDepartment of Sociomedical Sciences, Columbia University, New York, NY 10036, United States.
Milton WainbergNew York State Psychiatric Institute, New York, NY 10032, United States; Department of Psychiatry, Columbia University, New York, NY 10036, United States.
Deborah HasinNew York State Psychiatric Institute, New York, NY 10032, United States; Department of Psychiatry, Columbia University, New York, NY 10036, United States; Department of Epidemiology, Columbia University, New York, NY 10036, United States.
Elvin GengDivision of Infectious Diseases, Washington University in St. Louis, St. Louis, MO 63110, United States.
Patrick A WilsonDepartment of Psychology, University of California Los Angeles, Los Angeles, CA 90095, United States.
Stefan D BaralDepartment of Epidemiology, Johns Hopkins University, Baltimore, MD 21205, United States.

Funding

The Statistics, Data Science, and Data Management (SDM) CoreP30MH043520 · NIMH · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI MILTON L WAINBERG · 2003 to 2026
$48.2M
The Brown Initiative in HIV and AIDS Clinical Research for Minority CommunitiesR25MH083620 · NIMH · MIRIAM HOSPITAL · PI NUNN, AMY STEWART · 2008 to 2025
$3.7M
Intervening to improve HIV treatment and reduce drinking in young, black men who have sex with menK01AA028199 · NIAAA · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI KNOX, JUSTIN · 2020 to 2024
$865k
NIAAA NIH HHS K01 AA028199NIMH NIH HHS P30 MH043520NIMH NIH HHS R25 MH083620
6 · The paper itself

Abstract

purposeCombining evidence-based interventions (EBIs) is a discrete process from adapting EBIs, and specific guidance for how to combine EBIs could be helpful amidst the proliferation of frameworks that combine and stage EBIs and calls for services to be combined or bundled. To address this gap, we developed and applied the COllaborative Method for Building INterventions from Existing Evidence-Based Interventions (COMBINE-EBIs) approach, a five-step process for combining EBIs.

methodsThe five steps of COMBINE-EBIs are: (1) Identify and Select EBIs, (2) Develop a Shared Conceptual Model, (3) Evaluate the Conceptual Model, (4) Create a Single Combined Protocol, and (5) Refine through Further Input.

resultsWe developed and applied the 5-step COMBINE-EBIs process to build a fully refined, pre-tested, combined multi-component intervention that leverages intrinsic social network support and mHealth technology to support people with HIV who drink heavily improve HIV care outcomes and reduce alcohol use.

conclusionsCOMBINE-EBIs is a rigorous, systematic and efficient approach for building multi-component, multi-modal interventions to address multiple, co-occurring health behaviors simultaneously. COMBINE-EBIs is a resource efficient approach that could facilitate the creation of additional multi-component interventions to address complex, co-occurring health conditions synergistically. Future research should evaluate the feasibility and utility of COMBINE-EBIs, including where adaptations are needed to maximize utility.

Indexed as

Evidence-Based MedicineEvidence-Based PracticeHIV InfectionsCooperative BehaviorHumansSocial SupportTelemedicineCombining interventionsEvidence based interventionsImplementation Science

Identifiers

PMID41205688
PMCPMC12631057

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.